Principal Software Engineer

Advocus Title Agency, LLC is seeking a highly skilled Principal Software Engineer to design, build, and maintain mission-critical applications that support their title insurance operations and enterprise platforms. This role involves hands-on coding, architecture, and system integrations, while mentoring junior developers and collaborating with various teams to deliver innovative solutions.

Responsibilities:

• Application Development: Design, code, test, and deploy features across enterprise applications, with emphasis on performance, scalability, and reliability
• Agentic & AI System Development: Build and integrate intelligent, agent‑driven capabilities using AI Agents, NLP pipelines, and Computer Vision models to enhance automation, decision‑making, and workflow orchestration
• Architecture & Integration: Support the migration of existing applications from vendor‑hosted environments to Advocus’ AWS cloud infrastructure; build and integrate APIs, services, and workflows, including AI‑powered components
• Vendor Transition: Collaborate on source code migration and system refactoring as Advocus transitions from outsourced to internal software development
• Agile Delivery: Work within Agile sprints, ensuring quality delivery through peer reviews, automated testing, and CI/CD best practices
• Technical Standards: Contribute to coding standards, documentation, and secure SDLC practices; promote automation, testing, and DevOps culture
• Collaboration: Partner with business users, analysts, and QA to translate requirements into practical software solutions, including opportunities to leverage AI‑driven automation

Requirements:

• 10+ years of experience in software development with strong expertise in .NET, C#, Go, Python, and Node
• Hands‑on experience building Agentic Systems, including: AI Agents for workflow automation or decision support, NLP models or pipelines (LLMs, text classification, embeddings, RAG, etc.), Computer Vision models (OCR, document understanding, image classification, etc.)
• Experience integrating AI systems into enterprise applications, including model orchestration, prompt engineering, and evaluation
• Cloud-based development experience (AWS preferred; Azure acceptable with willingness to transition)
• Strong background in migrating applications from vendor-hosted to internally managed infrastructure
• Proven track record of delivering secure, reliable, and scalable software in regulated environments (financial services, insurance, or real estate preferred)
• Knowledge of DevOps tools and practices (CI/CD pipelines, GitHub Actions, Terraform)
• Strong communication skills, with the ability to translate technical solutions into business outcomes
• .NET 6/8
• C#
• Python
• Node
• Go
• AWS Bedrock
• SageMaker
• OpenAI/Anthropic APIs
• LangChain
• vector databases (Pinecone, FAISS, DynamoDB-based embeddings)
• Azure App Services
• Azure SQL
• Azure DevOps
• AWS EKS
• Fargate
• S3
• EC2
• Okta
• CloudTrail
• IAM
• CloudWatch
• Datadog
• GitHub
• GitHub Actions
• Terraform
• CI/CD pipelines
• Jira
• Confluence
• Microsoft 365